Top Machine Learning Jobs

As a Sr. AI/ML Engineer II, you'll analyze datasets, build and maintain AI/ML models, and provide support on security architecture, requiring at least 7 years of experience.

In this role, you'll analyze datasets, build and maintain AI/ML models, and provide technical support in a classified environment, leveraging your extensive experience in AI/ML methodologies and technologies.

The Research Engineer will develop and deploy machine learning models and systems, collaborate with teams, and mentor junior members while staying updated on research trends.

The Staff Software Engineer will architect and implement backend systems for LLM applications in healthcare, focusing on APIs, data pipelines, and compliance.

As a Staff ML Software Engineer, you will lead the development and deployment of machine learning applications, leveraging your expertise to drive software architecture decisions, maintain cloud infrastructure, and collaborate within a small, agile team focused on geospatial challenges related to climate change.

This role involves designing and implementing machine learning solutions, managing software production, and collaborating with cross-functional teams, with a focus on product ownership and decision-making.

Develop and scale learning architectures for behavior cloning and reinforcement learning, build data pipelines, and deploy models in real environments.

Develop and optimize ML models for robotics, collaborate with vendors for data labeling, and evaluate model performance in the field.

The Senior Machine Learning Engineer will lead product requests from problem definition to integration in the onboard driving system, focusing on audio perceptions for autonomous vehicles.

Lead the development of machine learning technologies within Ads Ranking, enhance user experience, and improve engineering systems in a collaborative environment.

Design and implement optimizations for llama.cpp, focus on performance analysis, collaborate with open-source community, and enhance machine learning deployments.

Seeking a Senior Staff Machine Learning Engineer to lead AI/ML system development, optimize architecture, and mentor teams while managing complex ML challenges.

The role focuses on machine learning, especially in video and image embedding, and improving user features using ML recommendations. Requires expertise in GCP and video production metrics.

The Machine Learning Engineer will develop and test GenAI architectures, fine-tune LLMs, apply ML algorithms, and contribute to architectural design in a collaborative environment.

The role involves designing and developing scalable AI/ML systems, evaluating model performance, and collaborating with various stakeholders to accelerate drug discovery.

The role involves building RL environments to automate ML engineering, requiring expertise in ML and software engineering, coding in Python.

The Senior Machine Learning Engineer will design, implement, and scale advanced foundation models, collaborate with researchers, and build AI systems. Requires hands-on experience with distributed training pipelines and proficiency in AI frameworks.

The Principal Machine Learning Engineer will work on vLLM systems, optimize machine learning algorithms, mentor engineers, and enhance AI deployment efficiency.

The Machine Learning Engineer II will develop and maintain AI/ML systems, manage cloud operations, and collaborate across teams to deploy ML-powered tools.

The Principal Machine Learning Engineer will develop multimodal technologies, mentor engineers, and drive product innovation in agentic AI systems.

As an AI/ML Intern, you will apply machine learning to improve workflows, build prototypes, and collaborate across teams, all while gaining hands-on experience in a financial tech environment.

The ML Enzyme Engineer Consultant will develop computational pipelines for enzyme discovery, integrate evolutionary analysis, and apply machine learning methods while collaborating with experimental teams.

Design and implement ML systems to model human-like driving behaviors, evaluate autonomous driving performance, and optimize software using AutoML techniques.

Seeking a Machine Learning Engineer to apply AI technologies in high frequency trading, focusing on automation and collaboration with AI research.

The role involves designing ML systems, developing evaluation methods for human-like driving behavior, optimizing software, and collaborating with cross-functional teams.